CCSM4 model output prepared for CMIP5 pre-industrial control
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/va_Amon_CCSM4_piControl_r1i1p1.yaml")
ds=cat.netcdf.read()
Metadata
title | CCSM4 model output prepared for CMIP5 pre-industrial control |
location | /shared/cmip5/data/piControl/atmos/mon/Amon/va/NCAR.CCSM4/r1i1p1 |
tags | gridded,global,model,monthly |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/va_Amon_CCSM4_piControl_r1i1p1.yaml |
last updated | 2013-06-14 |
Dataset Contents
<xarray.Dataset> Dimensions: (bnds: 2, lat: 192, lon: 288, plev: 17, time: 6012) Coordinates: * time (time) float64 2.917e+05 2.917e+05 ... 4.745e+05 4.745e+05 * plev (plev) float64 1e+05 9.25e+04 8.5e+04 7e+04 ... 3e+03 2e+03 1e+03 * lat (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0 * lon (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8 Dimensions without coordinates: bnds Data variables: time_bnds (time, bnds) float64 dask.array<chunksize=(600, 2), meta=np.ndarray> lat_bnds (time, lat, bnds) float64 dask.array<chunksize=(600, 192, 2), meta=np.ndarray> lon_bnds (time, lon, bnds) float64 dask.array<chunksize=(600, 288, 2), meta=np.ndarray> va (time, plev, lat, lon) float32 dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray> Attributes: institution: NCAR (National Center for Atmospheric Resea... institute_id: NCAR experiment_id: piControl source: CCSM4 model_id: CCSM4 forcing: Sl GHG Vl SS Ds SA BC MD OC Oz AA parent_experiment_id: N/A parent_experiment_rip: N/A branch_time: 0.0 contact: cesm_data@ucar.edu references: Gent P. R., et.al. 2011: The Community Clim... initialization_method: 1 physics_version: 1 tracking_id: 2600130d-44be-4b15-9672-5e5876a102ef acknowledgements: The CESM project is supported by the Nation... cesm_casename: b40.1850.track1.1deg.006 cesm_repotag: ccsm4_0_beta23 cesm_compset: B1850TR1CN resolution: f09_g16 (0.9x1.25_gx1v6) forcing_note: Additional information on the external forc... processed_by: strandwg on copper.cgd.ucar.edu at 20111128... processing_code_information: Last Changed Rev: 468 Last Changed Date: 20... product: output experiment: pre-industrial control frequency: mon creation_date: 2011-11-28T20:59:23Z history: 2011-11-28T20:59:23Z CMOR rewrote data to c... Conventions: CF-1.4 project_id: CMIP5 table_id: Table Amon (26 July 2011) 976b7fd1d9e1be31d... title: CCSM4 model output prepared for CMIP5 pre-i... parent_experiment: N/A modeling_realm: atmos realization: 1 cmor_version: 2.7.1
xarray.Dataset
- bnds: 2
- lat: 192
- lon: 288
- plev: 17
- time: 6012
- time(time)float642.917e+05 2.917e+05 ... 4.745e+05
- bounds :
- time_bnds
- units :
- days since 0001-01-01 00:00:00
- calendar :
- noleap
- axis :
- T
- long_name :
- time
- standard_name :
- time
array([291650.5, 291680. , 291709.5, ..., 474423.5, 474454. , 474484.5])
- plev(plev)float641e+05 9.25e+04 ... 2e+03 1e+03
- units :
- Pa
- axis :
- Z
- positive :
- down
- long_name :
- pressure
- standard_name :
- air_pressure
array([100000., 92500., 85000., 70000., 60000., 50000., 40000., 30000., 25000., 20000., 15000., 10000., 7000., 5000., 3000., 2000., 1000.])
- lat(lat)float64-90.0 -89.06 -88.12 ... 89.06 90.0
- bounds :
- lat_bnds
- units :
- degrees_north
- axis :
- Y
- long_name :
- latitude
- standard_name :
- latitude
array([-90. , -89.057594, -88.115181, -87.172775, -86.23037 , -85.287956, -84.345551, -83.403145, -82.460732, -81.518326, -80.575912, -79.633507, -78.691101, -77.748688, -76.806282, -75.863876, -74.921463, -73.979057, -73.036652, -72.094238, -71.151833, -70.209427, -69.267014, -68.324608, -67.382202, -66.439789, -65.497383, -64.554977, -63.612564, -62.670158, -61.727749, -60.785339, -59.842934, -58.900524, -57.958115, -57.015705, -56.073299, -55.13089 , -54.18848 , -53.246075, -52.303665, -51.361256, -50.41885 , -49.47644 , -48.534031, -47.591621, -46.649216, -45.706806, -44.764397, -43.821991, -42.879581, -41.937172, -40.994766, -40.052357, -39.109947, -38.167538, -37.225132, -36.282722, -35.340313, -34.397907, -33.455498, -32.513088, -31.570681, -30.628273, -29.685863, -28.743456, -27.801046, -26.858639, -25.916231, -24.973822, -24.031414, -23.089005, -22.146597, -21.204189, -20.26178 , -19.319372, -18.376963, -17.434555, -16.492147, -15.549738, -14.607329, -13.664922, -12.722513, -11.780105, -10.837696, -9.895288, -8.95288 , -8.010471, -7.068063, -6.125654, -5.183246, -4.240838, -3.298429, -2.356021, -1.413613, -0.471204, 0.471204, 1.413613, 2.356021, 3.298429, 4.240838, 5.183246, 6.125654, 7.068063, 8.010471, 8.95288 , 9.895288, 10.837696, 11.780105, 12.722513, 13.664922, 14.607329, 15.549738, 16.492147, 17.434555, 18.376963, 19.319372, 20.26178 , 21.204189, 22.146597, 23.089005, 24.031414, 24.973822, 25.916231, 26.858639, 27.801046, 28.743456, 29.685863, 30.628273, 31.570681, 32.513088, 33.455498, 34.397907, 35.340313, 36.282722, 37.225132, 38.167538, 39.109947, 40.052357, 40.994766, 41.937172, 42.879581, 43.821991, 44.764397, 45.706806, 46.649216, 47.591621, 48.534031, 49.47644 , 50.41885 , 51.361256, 52.303665, 53.246075, 54.18848 , 55.13089 , 56.073299, 57.015705, 57.958115, 58.900524, 59.842934, 60.785339, 61.727749, 62.670158, 63.612564, 64.554977, 65.497383, 66.439789, 67.382202, 68.324608, 69.267014, 70.209427, 71.151833, 72.094238, 73.036652, 73.979057, 74.921463, 75.863876, 76.806282, 77.748688, 78.691101, 79.633507, 80.575912, 81.518326, 82.460732, 83.403145, 84.345551, 85.287956, 86.23037 , 87.172775, 88.115181, 89.057594, 90. ])
- lon(lon)float640.0 1.25 2.5 ... 356.2 357.5 358.8
- bounds :
- lon_bnds
- units :
- degrees_east
- axis :
- X
- long_name :
- longitude
- standard_name :
- longitude
array([ 0. , 1.25, 2.5 , ..., 356.25, 357.5 , 358.75])
- time_bnds(time, bnds)float64dask.array<chunksize=(600, 2), meta=np.ndarray>
Array Chunk Bytes 96.19 kB 9.79 kB Shape (6012, 2) (612, 2) Count 30 Tasks 10 Chunks Type float64 numpy.ndarray - lat_bnds(time, lat, bnds)float64dask.array<chunksize=(600, 192, 2), meta=np.ndarray>
Array Chunk Bytes 18.47 MB 1.88 MB Shape (6012, 192, 2) (612, 192, 2) Count 40 Tasks 10 Chunks Type float64 numpy.ndarray - lon_bnds(time, lon, bnds)float64dask.array<chunksize=(600, 288, 2), meta=np.ndarray>
Array Chunk Bytes 27.70 MB 2.82 MB Shape (6012, 288, 2) (612, 288, 2) Count 40 Tasks 10 Chunks Type float64 numpy.ndarray - va(time, plev, lat, lon)float32dask.array<chunksize=(600, 17, 192, 288), meta=np.ndarray>
- standard_name :
- northward_wind
- long_name :
- Northward Wind
- units :
- m s-1
- original_name :
- V,PS
- comment :
- V interpolated to standard plevs
- original_units :
- m/s
- history :
- 2011-11-28T20:59:22Z altered by CMOR: Converted units from 'm/s' to 'm s-1'. 2011-11-28T20:59:22Z altered by CMOR: Reordered dimensions, original order: plev lat lon time. 2011-11-28T20:59:22Z altered by CMOR: replaced missing value flag (-1e+32) with standard missing value (1e+20).
- cell_methods :
- time: mean (interval: 30 days)
- associated_files :
- baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CCSM4_piControl_r0i0p0.nc
Array Chunk Bytes 22.61 GB 2.30 GB Shape (6012, 17, 192, 288) (612, 17, 192, 288) Count 30 Tasks 10 Chunks Type float32 numpy.ndarray
- institution :
- NCAR (National Center for Atmospheric Research) Boulder, CO, USA
- institute_id :
- NCAR
- experiment_id :
- piControl
- source :
- CCSM4
- model_id :
- CCSM4
- forcing :
- Sl GHG Vl SS Ds SA BC MD OC Oz AA
- parent_experiment_id :
- N/A
- parent_experiment_rip :
- N/A
- branch_time :
- 0.0
- contact :
- cesm_data@ucar.edu
- references :
- Gent P. R., et.al. 2011: The Community Climate System Model version 4. J. Climate, doi: 10.1175/2011JCLI4083.1
- initialization_method :
- 1
- physics_version :
- 1
- tracking_id :
- 2600130d-44be-4b15-9672-5e5876a102ef
- acknowledgements :
- The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. NCAR is sponsored by the National Science Foundation. Computing resources were provided by the Climate Simulation Laboratory at the NCAR Computational and Information Systems Laboratory (CISL), sponsored by the National Science Foundation and other agencies.
- cesm_casename :
- b40.1850.track1.1deg.006
- cesm_repotag :
- ccsm4_0_beta23
- cesm_compset :
- B1850TR1CN
- resolution :
- f09_g16 (0.9x1.25_gx1v6)
- forcing_note :
- Additional information on the external forcings used in this experiment can be found at http://www.cesm.ucar.edu/CMIP5/forcing_information
- processed_by :
- strandwg on copper.cgd.ucar.edu at 20111128 -135922.734
- processing_code_information :
- Last Changed Rev: 468 Last Changed Date: 2011-11-28 10:51:36 -0700 (Mon, 28 Nov 2011) Repository UUID: d2181dbe-5796-6825-dc7f-cbd98591f93d
- product :
- output
- experiment :
- pre-industrial control
- frequency :
- mon
- creation_date :
- 2011-11-28T20:59:23Z
- history :
- 2011-11-28T20:59:23Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.
- Conventions :
- CF-1.4
- project_id :
- CMIP5
- table_id :
- Table Amon (26 July 2011) 976b7fd1d9e1be31dddd28f5dc79b7a1
- title :
- CCSM4 model output prepared for CMIP5 pre-industrial control
- parent_experiment :
- N/A
- modeling_realm :
- atmos
- realization :
- 1
- cmor_version :
- 2.7.1